CODEWITHSUNDEEP
rggplot2confidence-interval
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Reputation: 2429

How to plot a bivariate plot with confidence interval for the x an y-axis in R?

Both my x and y-axis have variation in it, and thus have a corresponding confidence interval (xaxis.CI low and xaxis.CI.up). I want to plot x vs yaxis with the vertical and horizontal CIs, colored by dose in ggplot2. I also want to connect all the points by a line

xaxis <- c(5,10,9,30,2,4)
yaxis <- c(15,10,90,3,12,6)
xaxis.cI.low <-  xaxis + 3
xaxis.cI.up <-  xaxis - 3
  
yaxis.cI.low <- yaxis - 3
yaxis.cI.up <- yaxis + 3

dose <- c(100,200,300,400,500,600)

df <- data.frame(xaxis, yaxis, xaxis.cI.low, xaxis.cI.up, yaxis.cI.low, yaxis.cI.up, dose)

Upvotes: 1

Views: 784

Answers (1)

Ricardo Semi&#227;o
Ricardo Semi&#227;o

Reputation: 4456

I think the answers in ggplot2 : Adding two errorbars to each point in scatterplot is what you need:

ggplot(data = df,aes(x=xaxis, y=yaxis, color=dose)) + 
    geom_point() + 
    geom_errorbar(aes(ymin=yaxis.cI.low, ymax=yaxis.cI.up)) + 
    geom_errorbarh(aes(xmin=xaxis.cI.low, xmax=xaxis.cI.up))

Upvotes: 1

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